Senior Data Science Cloud Engineer

We are seeking a highly skilled Senior Cloud Engineer with a strong background in Data Science and analytics to join our team. As a Cloud Engineer - Data Science, you will be responsible for designing, building, and maintaining cloud-based data platforms that support our data science and analytics initiatives. You will work closely with our cloud products team to ensure seamless integration of data pipelines, machine learning models, and analytics applications on cloud infrastructure. Your expertise in cloud computing, data engineering, and data science will enable us to drive business growth through data-driven decision-making. Responsibilities: Design, build, and maintain scalable, secure, and efficient cloud-based data platforms (e.g., AWS, GCP, Azure) to support data science and analytics workloads Collaborate with data scientists to integrate data pipelines, machine learning models, and analytics applications on cloud infrastructure Develop and implement data engineering solutions to support data ingestion, processing, storage, and retrieval Ensure data quality, integrity, and security across all cloud-based data platforms Optimize cloud resource utilization and costs through efficient design and scaling of data platforms Develop and maintain CI/CD pipelines for data science and analytics applications Collaborate with cross-functional teams to ensure seamless integration of data platforms with other systems and applications Stay up-to-date with emerging trends and technologies in cloud computing, data engineering, and data science Participate in agile development methodologies and DevOps practices Requirements: 5+ years of experience in cloud computing (AWS, GCP, Azure) and data engineering Proficiency in programming languages such as Python, Java, or Scala Strong understanding of data storage solutions such as relational databases, NoSQL databases, and data warehousing Strong background in data science, including experience with machine learning, statistical modeling, and data visualization Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) Strong understanding of security and compliance in cloud computing Excellent problem-solving skills, with the ability to troubleshoot complex issues Strong communication and collaboration skills, with experience working with cross-functional teams Nice to Have: Experience with cloud-based data science platforms such as AWS Bedrock, Amazon SageMaker, or Azure Machine Learning Experience with data governance and data quality frameworks Certification in cloud computing (e.g., AWS Certified Solutions Architect) LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyones race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. #J-18808-Ljbffr